2001
DOI: 10.1063/1.1362298
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Phase behavior of monomeric mixtures and polymer solutions with soft interaction potentials

Abstract: We present Gibbs ensemble Monte Carlo simulations of monomer-solvent and polymer-solvent mixtures with soft interaction potentials, that are used in dissipative particle dynamics simulations. From the simulated phase behavior of the monomer-solvent mixtures one can derive an effective Flory-Huggins -parameter as a function of the particle interaction potential. We show that this -parameter agrees very well with the free energy difference between a monomer surrounded by solvent particles, and a solvent particle… Show more

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Cited by 107 publications
(116 citation statements)
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“…The difference in the strength of the nonbonded interactions is what mimics the difference between beads which represents groups of different nature (polar/apolar). The effective interaction parameter between water beads is usually derived from the compressibility of water at room temperature [95], while the repulsion parameters for a multicomponent system can be derived using the Flory-Huggins -parameters that represent the excess free energy of mixing [89,95,96]. It is however important to note that different authors have used slightly different sets of parameters.…”
Section: Empirical Coarse-grained Modelsmentioning
confidence: 99%
“…The difference in the strength of the nonbonded interactions is what mimics the difference between beads which represents groups of different nature (polar/apolar). The effective interaction parameter between water beads is usually derived from the compressibility of water at room temperature [95], while the repulsion parameters for a multicomponent system can be derived using the Flory-Huggins -parameters that represent the excess free energy of mixing [89,95,96]. It is however important to note that different authors have used slightly different sets of parameters.…”
Section: Empirical Coarse-grained Modelsmentioning
confidence: 99%
“…(27), which arises from the use of a purely repulsive conservative force, is significant; without it there would be a one to one correspondence between a 11 and δ 1 , and between a 22 and δ 2 with a 12 then given by the geometric mean of a 11 and a 22 . Instead we must regard Eq.…”
Section: B Mapping Dpd Onto Regular Solution Theorymentioning
confidence: 99%
“…Instead we must regard Eq. (27) as a definition of a 12 . This is possible since all other parameters are in principle known: a 11 and a 22 could be determined from pure component compressibility data as suggested by GW, while α has been determined by the same authors to be approximately 0.1 for DPD densities ρr c 3 > 3.…”
Section: B Mapping Dpd Onto Regular Solution Theorymentioning
confidence: 99%
“…N i = N During a simulation, the following trial moves are attempted: displacements, rotations, reptation, configurationalbias partial regrowths (only for partially flexible molecules), 60 volume changes, identity exchanges 61,62 (only for mixtures of linear chains), and coupling parameter changes. They are selected randomly but with a fixed probability proportional to the ratio 100:100:10:100:1:100:1000, respectively.…”
Section: Simulation Methodsmentioning
confidence: 99%